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The objective of this study is to design a robust receding-horizon observer for systems described by nonlinear models with uncertain parameters.
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However, the evaluation of the estimates provided by nonlinear models should always be evaluated with caution not to mention many external factors that lead to fluctuations and sudden/sharp changes in oil prices.
Reactor analysis represents a typical example of a complex engineering system that is described by multi-scale and multi-physics nonlinear models with many input parameters and output responses.
The data were best described by a nonlinear model with a constant first derivative of the AAA growth rate with size.
Nonlinear model with modeling panel zone.
To see the effects of a time series analysis on the type of system suggested by [13], a simple nonlinear model with random interspike intervals was tested.
Each therapy is obtained by fitting the output of the nonlinear model with diseased input, u tot,d, to the healthy output response.
In the first stage of the algorithm, compounds with a robust concentration response relationship are identified by comparing the best fit to a nonlinear model with a horizontal line (no concentration response) and classified as "active".
Here, following the work by [ 8], we extend the mutation tree from [ 10] into a nonlinear model with mutations (1)–(5).
This paper presents a problem of robust fault detection and isolation in systems described by nonlinear dynamic models with no differentiable nonlinearities.
We intended to perform a meta-analysis if data were clinically homogeneous by calculating summary estimates with nonlinear models using either random-effects or fixed-effects approaches.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com